Together with critical editions and translations, commentaries are one of the main genres of
publication in literary and textual scholarship, and have a century-long tradition. Yet, the …

In this paper we evaluate Optical Character Recognition (OCR) of 19th century Fraktur
scripts without book-specific training using mixed models, ie models trained to recognize a …

This paper documents our campaign to undertake the large-scale optical character
recognition of ancient, or polytonic, Greek. Building upon the Gamera OCR engine and …

Optical Character Recognition (OCR) on historical printings is a challenging task mainly due
to the complexity of the layout and the highly variant typography. Nevertheless, in the last …

This article describes the results of a case study that applies Neural Network-based Optical
Character Recognition (OCR) to scanned images of books printed between 1487 and 1870 …

The current paper presents work that has been carried out in the National Library of Finland
(NLF) to improve optical character recognition (OCR) quality of the historical Finnish …

The current paper presents work that has been carried out in the National Library of Finland
(NLF) to improve optical character recognition (OCR) quality of the historical Finnish …

This essay will discuss an ongoing project to train an optical character recognition (OCR)
system on medieval manuscripts—specifically, the OCR engine Kraken, which we trained to …

In this paper, we present a workflow for reworking digitized versions of early modern books,
freely available in the public domain, in such a way that they will be capable of yielding high …

In order to apply Optical Character Recognition (OCR) to historical printings of Latin script
fully automatically, we report on our efforts to construct a widely-applicable polyfont …